Digital Ops Support Analyst

Summary
We are investing in our digital future and seeking a Data Analyst in team to help maximize the value of our digital platform. We are focused on accelerating services and parts growth by providing digital solutions through data analytics, innovation, and customer-focused solutions. This role is a technical resource to support data pipeline and data flows.
 
Job Responsibilities:

• Understand the existing data flows and pipelines
• Absorb the domain knowledge behind the datasets.
• Triage data gaps or bugs in production with required details towards a fix.
• Replay the data pipeline or upload missing data to fix identified data gaps.
• Apply the code fix needed to ensure data integrity.
• Validate the data post-fix to ensure it meets expectations.
• Collaborate with other departments to identify the right team to apply fixes.
• Work with other departments to absorb knowledge about new pipelines or flows.
• Follow established business rules for the use of an application or process.
• Represent the application or process with other areas of the business that integrate with this part of the business.
• Seek input from relevant areas of the business that should contribute to this application or process.
• Understand, evaluate, and react to routine problems or situations with external contacts.
• Interact within the framework of existing business policies and practices and/or established business relationships.
• Identify the nature of complex or undefined problems and develop the best solution or application from numerous alternatives.

• Core skills in programming languages such as SQL and Python.
• Fundamental practical knowledge of AWS services like S3, SageMaker, RDS, Kinesis, DynamoDB, and Lambda.
• Fundamental practical knowledge of Snowflake and its properties.
• Ability to understand and analyze end-to-end data flow and pipeline.
• Familiarity with database concepts.

• Requires a college or university degree, technical certification, or equivalent experience.
• 3 or more years of experience working in data pipeline-related technologies or data validations.
• Interpersonal skills to handle sensitive, emotional, or potentially controversial situations.
• Familiarity with data management of an application overall.

 
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